odeJacobian

Jacobian description for ODE solvers.

📝Syntax

J = odeJacobian(value)
J = odeJacobian(value, name, value)
J = odeJacobian(name, value)

📄Description

odeJacobian stores a Jacobian function, matrix, or finite-difference pattern for the object ODE workflow.

Object	Purpose	Used by
odeJacobian	Stores a reusable definition for the ode object workflow.	The matching ode property and solve.
Validation	Checks supported names and shapes at construction time.	Tests and errors stay explicit before integration.

Public properties are Jacobian and SparsityPattern. The compatible alias Pattern is accepted by the constructor. The compatible Constant hint is also accepted and passed to solver options.

💡Examples

J = odeJacobian(-1)

Jacobian pattern for the object workflow.

J = odeJacobian('SparsityPattern', [1 0; 0 1]);
problem = ode('ODEFcn', @(t,y) [-10*y(1); -20*y(2)], 'InitialValue', [1; 2], 'Jacobian', J);
result = solve(problem, 0, 0.2)

Constant Jacobian hint.

J = odeJacobian(-25, 'Constant', 'on');
problem = ode('ODEFcn', @(t,y) -25*y, 'InitialValue', 1, 'Jacobian', J);
result = solve(problem, 0, 0.2)

🔗See Also

ode odeset

🕔Version History

Version	Description
2.0.0	initial version

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